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Merge branch 'cleanup' of https://github.com/Mobile-Robotics-W20-Team-9/UMICH-NCLT-SLAP into cleanup
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- [Video Summary](https://youtu.be/4xinp3mZIP0)
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- [Presentation from Video](https://docs.google.com/presentation/d/1PUHZjGNijsOMJ2KPXF_PAGO-eqZTLd085ZuNPc3VSsI/edit?usp=sharing)
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- [Generated Models from NCLT Data](https://drive.google.com/drive/folders/1cFf0q76xyul4nbShm-GwDNxFwYh1Bkzx?usp=sharing)
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- [Project Report](https://www.overleaf.com/read/ktshtqzyzmxt)
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## Dataset
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@@ -83,4 +84,83 @@ You can update the models by changing the intent or pickle files. Intent.json ca
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### Particle Filter
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<!-- TODO: Add instructions for running particle filter code -->
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To run particle filter you have to use python 2.7.
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Install the following dependencies
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1. `sudo apt install python-pip python-tk`
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2. `pip install numpy matplotlib open3d-python progressbar pyquaternion transforms3d scipy scikit-image networkx psutil`
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3. Install required dependencies including ray_tracing, pybind11, pytest, and Catch2
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`git clone https://github.com/catchorg/Catch2.git`
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`mkdir Catch2/build`
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`cd Catch2/build`
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`cmake ..`
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`make -j8`
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`sudo make install`
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`pip install pytest`
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`git clone https://github.com/pybind/pybind11.git`
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`mkdir pybind11/build`
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`cd pybind11/build`
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`cmake ..`
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`make -j8`
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`sudo make install`
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`git clone https://github.com/acschaefer/ray_tracing.git`
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`mkdir ray_tracing/build && cd ray_tracing/build`
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`cmake ..`
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`make -j8`
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`sudo make install`
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4. Download raw data from [NCLT](http://robots.engin.umich.edu/nclt/) to run code from scratch OR use our [prebuilt maps](https://drive.google.com/drive/folders/1cFf0q76xyul4nbShm-GwDNxFwYh1Bkzx?usp=sharing)
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4.1 The raw data can be downloaded from the website directly or using the downloader.py. If you are using the prebuilt maps, skip this step.
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`cd src/dataset/`
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`python download.py --date="2012-01-15" --vel --gt --gt_cov --sensor`
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`cd nclt/sensors/<date>`
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`tar xzf <sensors_file>`
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`cd ../velodyne`
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`tar xzf <velodyne_file>`
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Repeat this for any interested datasets. We have maps made for 2012-01-15, 2012-01-08, 2013-04-05, and 2013-01-10.
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5. In ncltpoles.py we need to make a couple changes
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`cd src/polex/poles/`
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Open and edit ncltpoles.py with your favorite editor.
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There are two # TODO comments. In the first one change 2020-04 to <year>-<month>. In the second one change the session to your desired session date. If you would like to run the exact experiment we did, do not change this date.
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6. In pynclt.py we need to make a couple changes
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`cd src/polex/poles`
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Open and edit pynclt.py with your favorite editor.
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There are two # TODO comments. In the first one, change paths to the appropriate directories on your machine. In the second one, comment our the sessions you are not using.
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7. Run it. WARNING this can take anywhere from 1 - 10 hours for 4 datasets.
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`cd src/polex/poles`
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`python2 ncltpoles.py`
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